The feedback board your AI agents can work from.

{
  "mcpServers": {
    "featurejet": {
      "type": "streamable-http",
      "url": "https://mcp.featurejet.com/mcp",
      "headers": {
        "Authorization": "Bearer fj_live_REPLACE_ME"
      }
    }
  }
}

Read my board's top planned post by votes and implement it.
Use the featurejet MCP server: call list_posts on board "acme"
with status "planned" (results are top-voted first), then
get_post and list_comments on the winner for full context.
Implement the request in this repo on a new branch. When the
tests pass, reply on the post's thread with create_comment
summarizing what changed, and give me a summary I can post
with the status change.

==> initialize
    { "jsonrpc": "2.0", "id": 1, "method": "initialize", … }
<== response
    { … "serverInfo": { "name": "FeatureJet MCP", "version": "1.28.1" } }

==> tools/call create_post
    {
      "slug": "feedback",
      "title": "7-day free trial for new accounts",
      "status": "in_progress",
      "body": "We're adding a 7-day free trial to every new account. …"
    }
<== response
    { "id": 67, "title": "7-day free trial for new accounts",
      "status": "in_progress", "created_at": "2026-07-18T23:54:33.718779Z", … }

==> tools/call update_post
    {
      "slug": "feedback",
      "post_id": 43,
      "status": "planned",
      "body": "A weekly summary of new posts and votes for board admins.\n\n---\n\n**Team update (2026-07-18):** We're picking this up, starting with a monthly digest rather than weekly: … Marked as planned."
    }
<== response
    { "id": 43, "title": "Weekly digest email", "status": "planned",
      "vote_count": 1, … }